| Model Type | | text generation, multilingual |
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| Use Cases |
| Areas: | |
| Applications: | | assistant-like chat, knowledge retrieval, summarization, mobile AI powered writing assistants |
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| Limitations: | | Use in any manner violating applicable laws or regulations, Use beyond explicitly referenced languages |
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| Supported Languages | | English (officially supported), German (officially supported), French (officially supported), Italian (officially supported), Portuguese (officially supported), Hindi (officially supported), Spanish (officially supported), Thai (officially supported) |
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| Training Details |
| Data Sources: | | Publicly available online data |
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| Data Volume: | |
| Methodology: | | Supervised fine-tuning (SFT), reinforcement learning with human feedback (RLHF) |
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| Context Length: | |
| Training Time: | |
| Hardware Used: | | Meta's custom built GPU cluster |
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| Model Architecture: | | Auto-regressive language model using optimized transformer architecture |
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| Safety Evaluation |
| Ethical Considerations: | | The model is not to be deployed in isolation but as part of a broader AI system with safety guardrails. |
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| Responsible Ai Considerations |
| Transparency: | | Built to be safe and flexible for user-deployed systems. |
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| Accountability: | | Developers are accountable for ensuring safety in their deployments. |
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| Input Output |
| Accepted Modalities: | |
| Output Format: | |
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| Release Notes |
| Version: | |
| Date: | |
| Notes: | | Release of Llama 3.2 multilingual large language models. |
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